Khaled Abdulrahman Alnowaiser

Computer Science

1. Convolutional Neural Network 100%
2. Deep Learning Method 85%
3. Internet-Of-Things 54%
4. Machine Learning Model 47%
5. Deep Learning Model 43%
6. Early Detection 39%
7. Multilayer Perceptron 36%
8. Learning Approach 36%
9. Feature Extraction 36%
10. Electronic Learning 34%
11. Extracted Feature 28%
12. Learning System 27%
13. Machine Learning 27%
14. Ensemble Learning 27%
15. Traffic Monitoring 27%
16. Vehicle Detection 27%
17. Cancer Diagnosis 27%
18. Kalman Filter 24%
19. Image Segmentation 20%
20. Grey Wolf Optimization 20%
21. Feature Vector 20%
22. Feature Fusion 20%
23. Robotics 20%
24. Recognition System 19%
25. Anomaly Detection 19%
26. Long Short-Term Memory Network 18%
27. Support Vector Machine 18%
28. Logistic Regression 18%
29. Experimental Result 17%
30. Random Decision Forest 17%
31. Tracking (Position) 17%
32. Principal Component 17%
33. Component Analysis 17%
34. Human Activity Recognition 17%
35. Artificial Intelligence 16%
36. COVID-19 15%
37. Computer Vision 14%
38. Preprocessing Stage 13%
39. spam 13%
40. Action Recognition 13%
41. Non-Uniform Memory Access 13%
42. Garbage Collection 13%
43. Copying Collector 13%
44. Parallelism 13%
45. YOLOv3 13%
46. Intrusion Detection 13%
47. Average Accuracy 13%
48. Cyber Physical Systems 13%
49. Detection Method 13%
50. k-Nearest Neighbors Algorithm 13%